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Philip T. Evers

Associate Professor of Logistics Management

Robert H. Smith School of Business




Logistics, Business and Public Policy

Language Proficiency


In his research, Philip Evers focuses on methods for achieving statistical economies of scale in logistics systems. He has developed mathematical models that predict the reduction in inventory levels resulting from the consolidation of stock-keeping locations. These savings arise primarily as a result of the demand-pooling effect of inventory centralization. He also examined the use of transshipments between locations, finding that in the case of emergency transshipments statistical economies arise not only from demand pooling but also from lead-time pooling. The Systems Section Editor for the Journal of Business Logistics, Evers has studied intermodal transportation, focusing mainly on actual and perceived levels of competitive service provided by affiliated carriers. Evers has had articles published in such journals as Computers and Operations Research, European Journal of Operational Research, Journal of Operations Management, Production and Inventory Management Journal, Transportation Research, Transportation Journal, International Journal of Logistics Management, and Journal of Business Logistics.

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